MaaSecLab / MaaSecLab/BigSister
Implement ML-based stego detection classifier
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Description
Train a simple CNN/RF to flag images likely to contain hidden data and surface confidence scores.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, dataset, or entry point. Start by clarifying whether the classifier should use a CNN, random forest, or both, what image data is available, and how confidence scores should be surfaced. Done should include a defined training and evaluation process with measurable detection results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- computer-vision, machine-learning, security
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100